Integrated Production and Outbound Distribution Scheduling: a hybrid framework
Elsaeed, A., Ashour, M., Elshaer, R. (2025). Integrated Production and Outbound Distribution Scheduling: a hybrid framework. EKB Journal Management System, 49(2), 81-89. doi: 10.21608/eijest.2024.308544.1283
Ashraf Elsaeed; Mostafa Ashour; Raafat Elshaer. "Integrated Production and Outbound Distribution Scheduling: a hybrid framework". EKB Journal Management System, 49, 2, 2025, 81-89. doi: 10.21608/eijest.2024.308544.1283
Elsaeed, A., Ashour, M., Elshaer, R. (2025). 'Integrated Production and Outbound Distribution Scheduling: a hybrid framework', EKB Journal Management System, 49(2), pp. 81-89. doi: 10.21608/eijest.2024.308544.1283
Elsaeed, A., Ashour, M., Elshaer, R. Integrated Production and Outbound Distribution Scheduling: a hybrid framework. EKB Journal Management System, 2025; 49(2): 81-89. doi: 10.21608/eijest.2024.308544.1283

Integrated Production and Outbound Distribution Scheduling: a hybrid framework

The Egyptian International Journal of Engineering Sciences and Technology
Volume 49, Issue 2, March 2025, Page 81-89  XML PDF (1000.2 K)
Document Type: Original Article
DOI: 10.21608/eijest.2024.308544.1283
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Authors
Ashraf Elsaeed email orcid 1; Mostafa Ashourorcid 2; Raafat Elshaer3
1Industrial Engineering Department, Faculty of Engineering, Zagazig University, Egypt
2Industrial Engineering Deparment, Faculty of Engineering, Zagazig University, Zagazig
3Industrial Engineering Department, Collage of Engineering, King Khalid University, Abha, Saudi Arabia.
Abstract
The integrated production and outbound distribution scheduling (IPODS) framework presented in this paper addresses the critical need for coordinated manufacturing and distribution in industrial engineering and supply chain management. The proposed solution employs the Ant Colony System (ACS) to optimize production scheduling and vehicle routing. The framework comprises four stages: production scheduling, order completion and patch formation, vehicle assignment, and vehicle routing with departure time optimization. Initially, ACS is utilized to determine optimal schedules for parallel machine production, minimizing overall production time. Subsequently, order completion times are calculated, and orders are grouped into patches to streamline logistics. These patches are then assigned to vehicles from an available fleet, ensuring efficient utilization and load balancing. Finally, ACS is applied to solve the vehicle routing problem, determining optimal routes and departure times to minimize travel costs and ensure timely deliveries. This framework enhances the efficiency and effectiveness of managing integrated production and distribution tasks, providing significant and improved operational performance.
Keywords
Integrated scheduling; Hybrid framework; Parallel machines; Vehicle routing
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